That is, the variance of the sampling distribution of the mean is the population variance divided by N, the sample size (the number of scores used to compute a mean). Thus, the larger the sample size, the smaller the variance of the sampling distribution of the mean.

Is variance population or sample?

Summary: Population variance refers to the value of variance that is calculated from population data, and sample variance is the variance calculated from sample data. Due to this value of denominator in the formula for variance in case of sample data is 'n-1', and it is 'n' for population data.

Is sample variance the same as sample mean?

We also learned that the sample mean is the arithmetic average of all the values in the sample. The sample variance measures how spread out the data is, and the sample standard deviation is the square root of the variance.